What Turing Did After He Invented the Universal Turing Machine Author(S): B
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To What Extent Did British Advancements in Cryptanalysis During World War II Influence the Development of Computer Technology?
Portland State University PDXScholar Young Historians Conference Young Historians Conference 2016 Apr 28th, 9:00 AM - 10:15 AM To What Extent Did British Advancements in Cryptanalysis During World War II Influence the Development of Computer Technology? Hayley A. LeBlanc Sunset High School Follow this and additional works at: https://pdxscholar.library.pdx.edu/younghistorians Part of the European History Commons, and the History of Science, Technology, and Medicine Commons Let us know how access to this document benefits ou.y LeBlanc, Hayley A., "To What Extent Did British Advancements in Cryptanalysis During World War II Influence the Development of Computer Technology?" (2016). Young Historians Conference. 1. https://pdxscholar.library.pdx.edu/younghistorians/2016/oralpres/1 This Event is brought to you for free and open access. It has been accepted for inclusion in Young Historians Conference by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. To what extent did British advancements in cryptanalysis during World War 2 influence the development of computer technology? Hayley LeBlanc 1936 words 1 Table of Contents Section A: Plan of Investigation…………………………………………………………………..3 Section B: Summary of Evidence………………………………………………………………....4 Section C: Evaluation of Sources…………………………………………………………………6 Section D: Analysis………………………………………………………………………………..7 Section E: Conclusion……………………………………………………………………………10 Section F: List of Sources………………………………………………………………………..11 Appendix A: Explanation of the Enigma Machine……………………………………….……...13 Appendix B: Glossary of Cryptology Terms.…………………………………………………....16 2 Section A: Plan of Investigation This investigation will focus on the advancements made in the field of computing by British codebreakers working on German ciphers during World War 2 (19391945). -
The Turing Guide
The Turing Guide Edited by Jack Copeland, Jonathan Bowen, Mark Sprevak, and Robin Wilson • A complete guide to one of the greatest scientists of the 20th century • Covers aspects of Turing’s life and the wide range of his intellectual activities • Aimed at a wide readership • This carefully edited resource written by a star-studded list of contributors • Around 100 illustrations This carefully edited resource brings together contributions from some of the world’s leading experts on Alan Turing to create a comprehensive guide that will serve as a useful resource for researchers in the area as well as the increasingly interested general reader. “The Turing Guide is just as its title suggests, a remarkably broad-ranging compendium of Alan Turing’s lifetime contributions. Credible and comprehensive, it is a rewarding exploration of a man, who in his life was appropriately revered and unfairly reviled.” - Vint Cerf, American Internet pioneer JANUARY 2017 | 544 PAGES PAPERBACK | 978-0-19-874783-3 “The Turing Guide provides a superb collection of articles £19.99 | $29.95 written from numerous different perspectives, of the life, HARDBACK | 978-0-19-874782-6 times, profound ideas, and enormous heritage of Alan £75.00 | $115.00 Turing and those around him. We find, here, numerous accounts, both personal and historical, of this great and eccentric man, whose life was both tragic and triumphantly influential.” - Sir Roger Penrose, University of Oxford Ordering Details ONLINE www.oup.com/academic/mathematics BY TELEPHONE +44 (0) 1536 452640 POSTAGE & DELIVERY For more information about postage charges and delivery times visit www.oup.com/academic/help/shipping/. -
Ted Nelson History of Computing
History of Computing Douglas R. Dechow Daniele C. Struppa Editors Intertwingled The Work and Influence of Ted Nelson History of Computing Founding Editor Martin Campbell-Kelly, University of Warwick, Coventry, UK Series Editor Gerard Alberts, University of Amsterdam, Amsterdam, The Netherlands Advisory Board Jack Copeland, University of Canterbury, Christchurch, New Zealand Ulf Hashagen, Deutsches Museum, Munich, Germany John V. Tucker, Swansea University, Swansea, UK Jeffrey R. Yost, University of Minnesota, Minneapolis, USA The History of Computing series publishes high-quality books which address the history of computing, with an emphasis on the ‘externalist’ view of this history, more accessible to a wider audience. The series examines content and history from four main quadrants: the history of relevant technologies, the history of the core science, the history of relevant business and economic developments, and the history of computing as it pertains to social history and societal developments. Titles can span a variety of product types, including but not exclusively, themed volumes, biographies, ‘profi le’ books (with brief biographies of a number of key people), expansions of workshop proceedings, general readers, scholarly expositions, titles used as ancillary textbooks, revivals and new editions of previous worthy titles. These books will appeal, varyingly, to academics and students in computer science, history, mathematics, business and technology studies. Some titles will also directly appeal to professionals and practitioners -
Alan Turing's Forgotten Ideas
Alan Turing, at age 35, about the time he wrote “Intelligent Machinery” Copyright 1998 Scientific American, Inc. lan Mathison Turing conceived of the modern computer in 1935. Today all digital comput- Aers are, in essence, “Turing machines.” The British mathematician also pioneered the field of artificial intelligence, or AI, proposing the famous and widely debated Turing test as a way of determin- ing whether a suitably programmed computer can think. During World War II, Turing was instrumental in breaking the German Enigma code in part of a top-secret British operation that historians say short- ened the war in Europe by two years. When he died Alan Turing's at the age of 41, Turing was doing the earliest work on what would now be called artificial life, simulat- ing the chemistry of biological growth. Throughout his remarkable career, Turing had no great interest in publicizing his ideas. Consequently, Forgotten important aspects of his work have been neglected or forgotten over the years. In particular, few people— even those knowledgeable about computer science— are familiar with Turing’s fascinating anticipation of connectionism, or neuronlike computing. Also ne- Ideas glected are his groundbreaking theoretical concepts in the exciting area of “hypercomputation.” Accord- ing to some experts, hypercomputers might one day in solve problems heretofore deemed intractable. Computer Science The Turing Connection igital computers are superb number crunchers. DAsk them to predict a rocket’s trajectory or calcu- late the financial figures for a large multinational cor- poration, and they can churn out the answers in sec- Well known for the machine, onds. -
Report on the First IEEE Workshop on the Future of Research Curation Andnational Research Reproducibility Science Foundation 5-6 November 2016 Award #1641014
Report on the First IEEE Workshop on the Future of Research Curation andNational Research Reproducibility Science Foundation 5-6 November 2016 Award #1641014 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 WASHINGTON, DC Report for NSF Award #1641014 Page 1 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 This page intentionally left blank Report for NSF Award #1641014 Page 2 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 Report on the First IEEE Workshop on The Future of Research Curation and Research Reproducibility Marriott Marquis, Washington, DC, USA 5-6 November 2016 National Science Foundation Award #1641014 Steering Committee Chair: John Baillieul, Boston University Larry Hall, University of South Florida José M.F. Moura, Carnegie Mellon Sheila Hemami, Draper Labs Gianluca Setti, University of Ferrara Michael Forster, IEEE Gerry Grenier, IEEE Fran Zappulla, IEEE John Keaton, IEEE Douglas McCormick and Kenneth Moore, rapporteurs Report for NSF Award #1641014 Page 3 Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility 5-6 November 2016 Contents Attendees ...................................................................................................................................................... 6 Preface ......................................................................................................................................................... -
Intelligence Without Reason
Intelligence Without Reason Rodney A. Brooks MIT Artificial Intelligence Lab 545 Technology Square Cambridge, MA 02139, USA Abstract certain modus operandi over the years, which includes a particular set of conventions on how the inputs and out- Computers and Thought are the two categories puts to thought and reasoning are to be handled (e.g., that together define Artificial Intelligence as a the subfield of knowledge representation), and the sorts discipline. It is generally accepted that work in of things that thought and reasoning do (e.g,, planning, Artificial Intelligence over the last thirty years problem solving, etc.). 1 will argue that these conven has had a strong influence on aspects of com- tions cannot account for large aspects of what goes into puter architectures. In this paper we also make intelligence. Furthermore, without those aspects the va the converse claim; that the state of computer lidity of the traditional Artificial Intelligence approaches architecture has been a strong influence on our comes into question. I will also argue that much of the models of thought. The Von Neumann model of landmark work on thought has been influenced by the computation has lead Artificial Intelligence in technological constraints of the available computers, and particular directions. Intelligence in biological thereafter these consequences have often mistakenly be systems is completely different. Recent work in come enshrined as principles, long after the original im behavior-based Artificial Intelligence has pro petus has disappeared. duced new models of intelligence that are much closer in spirit to biological systems. The non- From an evolutionary stance, human level intelligence Von Neumann computational models they use did not suddenly leap onto the scene. -
On Four Types of Argumentation for Classical Logic
ROCZNIKI FILOZOFICZNE Tom LXVIII, numer 4 – 2020 DOI: https://doi.org/10.18290/rf20684-13 BOŻENA CZERNECKA-REJ * ON FOUR TYPES OF ARGUMENTATION FOR CLASSICAL LOGIC Classical logic1 has been many times submitted to varied criticism and at the beginning of the second half of the 20th century—together with the progressing multiplication of non-classical logical calculi – its imminent death was even prophesied. Nevertheless, it still remains the most permanent paradigm of logic as a scientific discipline. It seems that the time has gone irrevocably when it was believed that two-valued logic did not only stand in conflict with our intuitions but using it might lead to contradictions. After numerous fruitless searches, the scientists even lost hope to create a better logic than two-valued logic2. Naturally, different types of non-classical logic function which solve certain local problems and which standard logic cannot cope with. Leslie H. Tharp in his article Which Logic Is the Right Logic? puts the question about the properties that the correct system of logic should possess. He states that standard first-order logic is commonly considered to be the basic logical tool – “it appears not to go beyond what one would call logic, the problem evidently is whether it can be extended” (THARP 1975, 4). He BOŻENA CZERNECKA-REJ, PhD Habil., Associate Professor at the John Paul II Catholic University of Lublin, Faculty of Philosophy, Institute of Philosophy, Department of Logic; address for corres- pondence: Al. Racławickie 14, 20-950 Lublin; e-mail: [email protected]; ORCID: https://orcid.org/0000-0002-2992-4560. -
OFFLINE GAMING VS CLOUD GAMING (ONLINE GAMING) Mr
ISSN: 0974-3308, VOL. 11, NO. 2 DECEMBER 2018 @ SRIMCA 99 OFFLINE GAMING VS CLOUD GAMING (ONLINE GAMING) Mr. Amit Khatri Abstract—Games has always been a major source of entertainment in every generation and so exiting their history is, because it has various factor involved like Video Games Industry and various generations of video games. Due to improvements in graphics, a revolution has occurred in computer games. Storage for Video Games has always been a problem whether it is a Gaming Console or a PC but has been resolved generation by generation. Games also attracted the uninterested audience. Offline Gaming has been very popular for a year but has various drawbacks. Cloud Gaming is the resolution against Offline Gaming. This paper talks about how Cloud Gaming is taking place of Offline Gaming with much powerful hardware systems and processes. Keywords—Gaming, Cloud Gaming, Gaming PC, Gaming Console, Video Games. I. GAMING AND ITS HISTORY Computerized game playing, whether it is over a personal computer, mobile phone or a video game console can be referred to as Gaming. An individual who plays video games is recognized as a gamer [1]. In every generation of technology evolution, graphics of the game have been improved. When we think the history of video games we usually think of games like Tic- tac-toe, Tetris, Pacman, pong and many more but now these games use graphics seems like reality. In the 1950s, People can’t think of playing card games such as Solitaire, Blackjack, Hearts, Spider Solitaire and so on, on tv or computer but now the stage has reached more ahead from that [1]. -
The Eagle 2005
CONTENTS Message from the Master .. .. .... .. .... .. .. .. .. .. .... ..................... 5 Commemoration of Benefactors .. .............. ..... ..... ....... .. 10 Crimes and Punishments . ................................................ 17 'Gone to the Wars' .............................................. 21 The Ex-Service Generations ......................... ... ................... 27 Alexandrian Pilgrimage . .. .. .. .. .. .. .. .. .. .. .. .................. 30 A Johnian Caricaturist Among Icebergs .............................. 36 'Leaves with Frost' . .. .. .. .. .. .. ................ .. 42 'Chicago Dusk' .. .. ........ ....... ......... .. 43 New Court ........ .......... ....................................... .. 44 A Hidden Treasure in the College Library ............... .. 45 Haiku & Tanka ... 51 and sent free ...... 54 by St John's College, Cambridge, The Matterhorn . The Eagle is published annually and other interested parties. Articles members of St John's College .... 55 of charge to The Eagle, 'Teasel with Frost' ........... should be addressed to: The Editor, to be considered for publication CB2 1 TP. .. .. .... .. .. ... .. ... .. .. ... .... .. .. .. ... .. .. 56 St John's College, Cambridge, Trimmings Summertime in the Winter Mountains .. .. ... .. .. ... ... .... .. .. 62 St John's College Cambridge The Johnian Office ........... ..... .................... ........... ........... 68 CB2 1TP Book Reviews ........................... ..................................... 74 http:/ /www.joh.cam.ac.uk/ Obituaries -
Alan Turing's Automatic Computing Engine
5 Turing and the computer B. Jack Copeland and Diane Proudfoot The Turing machine In his first major publication, ‘On computable numbers, with an application to the Entscheidungsproblem’ (1936), Turing introduced his abstract Turing machines.1 (Turing referred to these simply as ‘computing machines’— the American logician Alonzo Church dubbed them ‘Turing machines’.2) ‘On Computable Numbers’ pioneered the idea essential to the modern computer—the concept of controlling a computing machine’s operations by means of a program of coded instructions stored in the machine’s memory. This work had a profound influence on the development in the 1940s of the electronic stored-program digital computer—an influence often neglected or denied by historians of the computer. A Turing machine is an abstract conceptual model. It consists of a scanner and a limitless memory-tape. The tape is divided into squares, each of which may be blank or may bear a single symbol (‘0’or‘1’, for example, or some other symbol taken from a finite alphabet). The scanner moves back and forth through the memory, examining one square at a time (the ‘scanned square’). It reads the symbols on the tape and writes further symbols. The tape is both the memory and the vehicle for input and output. The tape may also contain a program of instructions. (Although the tape itself is limitless—Turing’s aim was to show that there are tasks that Turing machines cannot perform, even given unlimited working memory and unlimited time—any input inscribed on the tape must consist of a finite number of symbols.) A Turing machine has a small repertoire of basic operations: move left one square, move right one square, print, and change state. -
Introduction to Gaming
IWKS 2300 Fall 2019 A (redacted) History of Computer Gaming John K. Bennett How many hours per week do you spend gaming? A: None B: Less than 5 C: 5 – 15 D: 15 – 30 E: More than 30 What has been the driving force behind almost all innovations in computer design in the last 50 years? A: defense & military B: health care C: commerce & banking D: gaming Games have been around for a long time… Senet, circa 3100 B.C. 麻將 (mahjong, ma-jiang), ~500 B.C. What is a “Digital Game”? • “a software program in which one or more players make decisions through the control of the game objects and resources in pursuit of a goal” (Dignan, 2010) 1.Goal 2.Rules 3.Feedback loop (extrinsic / intrinsic motivation) 4.Voluntary Participation McGonigal, J. (2011). Reality is Broken: Why Games Make Us Better and How They Can Change the World. Penguin Press Early Computer Games Alan Turning & Claude Shannon Early Chess-Playing Programs • In 1948, Turing and David Champernowne wrote “Turochamp”, a paper design of a chess-playing computer program. No computer of that era was powerful enough to host Turochamp. • In 1950, Shannon published a paper on computer chess entitled “Programming a Computer for Playing Chess”*. The same algorithm has also been used to play blackjack and the stock market (with considerable success). *Programming a Computer for Playing Chess Philosophical Magazine, Ser.7, Vol. 41, No. 314 - March 1950. OXO – Noughts and Crosses • PhD work of A.S. Douglas in 1952, University of Cambridge, UK • Tic-Tac-Toe game on EDSAC computer • Player used dial -
Growing the Artificial Intelligence Industry in the Uk
GROWING THE ARTIFICIAL INTELLIGENCE INDUSTRY IN THE UK Professor Dame Wendy Hall and Jérôme Pesenti Growing the Artificial Intelligence Industry in the UK FOREWORD We are grateful to the Business Secretary and Culture Secretary for asking us to conduct this Review of how to grow Artificial Intelligence in the UK, in terms of those developing it and deploying it. We believe that this is the right time for the UK to accelerate on AI, and ensure that our unique history of ground breaking research bears fruit in the social and economic benefits that the technology offers. We are at the threshold of an era when much of our productivity and prosperity will be derived from the systems and machines we create. We are accustomed now to technology developing fast, but that pace will increase and AI will drive much of that acceleration. The impacts on society and the economy will be profound, although the exact nature of those impacts is uncertain. We are convinced that because of the UK’s current and historical strengths in this area we are in a strong position to lead rather than follow in both the development of the technology and its deployment in all sectors of industry, education and government. We have a choice. The UK could stay among the world leaders in AI in the future, or allow other countries to dominate. We start from a good position in many respects but other leading countries are devoting significant resources to growing and deploying AI. The UK will need to act in key areas and to sustain action over a long period and across industry sectors, to retain its world leading status, and to grow our AI capability as well as deploying it much more widely.